Director, Data & AI Engineering
Location
Canada
Posted
8 days ago
Salary
$188.7K - $238.7K / year
Seniority
Lead
Job Description
Director, Data & AI Engineering
RTX
• Define and lead the strategy for data engineering, AI engineering and core data services to ensure scalability, efficiency and alignment with business objectives. • Oversee end-to-end management of data from multiple sources (IoT, field data, manufacturing and production systems), including engineering, modeling, deployment, monitoring and operations. • Lead global teams responsible for data architecture, data engineering, integration and data operations. • Define and enforce standards for software development, observability, resilience, service level indicators (SLIs), service level objectives (SLOs), incident management and operational procedures. • Ensure alignment of architectural and engineering practices with governance frameworks, domain models, security standards and platform stability requirements. • Take global ownership of AI platforms, including compute environments, MLOps toolsets, operational processes for AI and model hosting. • Ensure AI environments meet security, performance, availability, compliance and cost-optimization requirements. • Develop reusable components that facilitate development, deployment, monitoring and compliance of AI models. • Promote global convergence of data and AI capabilities, tools, engineering practices and operational processes. • Reduce fragmentation by standardizing development methods, monitoring structures, SLAs/SLOs and change management approaches. • Build reusable components, shared services and reproducible patterns to increase efficiency and reduce duplication. • Establish secure, governed self-service capabilities that enable teams to use data, analytics and AI autonomously. • Ensure compliance with export controls, international trade, data residency and regulatory requirements. • Eliminate redundant services and consolidate existing capabilities. • Ensure reliability, availability, observability and security of data and AI platforms. • Oversee global monitoring, incident and problem management, capacity planning, disaster recovery and lifecycle management. • Implement robust operational controls for access, change management, operational readiness and compliance. • Advance automation, Site Reliability Engineering (SRE) practices and continuous operational improvement. • Ensure developed capabilities effectively support analytics, artificial intelligence, digital transformation initiatives and operational workloads. • Collaborate with Data Science, AI, Ontology and Data Governance teams to ensure platforms align with modeling, metadata, traceability and data quality needs. • Support major enterprise programs including SAP S/4HANA, global data products, digital transformation, engineering modernization, production systems and support activities. • Lead global teams of engineers, architects, SRE specialists, platform operations professionals and data operations staff. • Foster a culture of technical excellence, operational discipline, innovation and continuous improvement. • Build organizational capabilities through workforce planning, skills development, mentoring and alignment of global teams. • Strengthen collaboration between engineering, operations and business partners.
Job Requirements
- Bachelor’s degree in Computer Science, Management Information Systems, Information Technology or a related technical field, combined with a minimum of 14 years of experience in data engineering, platform engineering and platform operations;
- OR
- Graduate degree in a relevant field combined with a minimum of 12 years of experience in the same areas.
- Experience leading large, global engineering and operations teams.
- Deep expertise with cloud data ecosystems such as Databricks and Snowflake and their integration capabilities.
- Experience with AI platforms, MLOps pipelines, model operations and high-performance compute environments.
- Excellent understanding of data architecture, engineering patterns, observability, operational frameworks and platform security.
- Demonstrated ability to translate business strategy into a technology roadmap and deliver scalable enterprise capabilities.
- Strong influencing, communication and collaboration skills with technical and business leaders.
- Proven experience in modernization, standardization, reliability engineering and operational excellence.
- Track record of building and developing high-performing engineering and operations teams.
Benefits
- Employer-contributed retirement and savings plan
- Group insurance program
- Career advancement opportunities (career progression)
- Merit or recognition program
- Health and wellness program, including telemedicine
- Recreation and sports club
- Nearby daycare services
- Transit accessibility or public transit program and free parking
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